This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python, 2nd Edition (Manning Publications). For readability, these notebooks only contain runnable code blocks and section titles, and omit everything else in the book: text paragraphs, figure...
"Deep Learning with Python"一书的代码示例及笔记 主要是Deep Learning with Python (Manning Publications)一书中的代码示例 原始代码来源:https://github.com/fchollet/deep-learning-with-python-notebooks Python版本: 3.6.5 操作系统:Deepin GNU/Linux 15.7 ...
勤勤恳恳的Ao有……一个半月没有更新了(orz……) 所以一上来就要做点有用的事情! 嗯~就是,花了点时间,翻了人生中第一本小小的、小小的书——deep-learning-with-python-notebooks 它只是deep-learning-with-python中相关代码及其解释的摘录,总共四万多不够五万字,算是深度学习一本基础入门书籍吧。 在github可...
图1-1帮助理清了人工智能、机器学习和深度学习之间的关系。 图1-2 清晰的阐述了经典程序设计范式和机器学习一种新的编程范式的不同。两种范式引出了两种不同的教学方法,一种是手把手的教知识和规则,这种情况对于封闭型稍简单的情境会比较有效;当面临复杂问题,比如语音识别、图像识别等问题时就有些捉襟见肘了。而...
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Jupyter notebooks for the code samples of the book "Deep Learning with Python" - concatenate -> stack · Dk0071942/deep-learning-with-python-notebooks@c19e219
This notebook contains the code samples found in Chapter 3, Section 6 of Deep Learning with Python. Note that the original text features far more content, in particular further explanations and figures: in this notebook, you will only find source code and related comments. In all the ...
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